Reacting to an event-driven world
We now live in a world with data at its heart. The amount of data being produced every day is growing exponentially and a large amount of this data is in the form of events. Whether it be updates from sensors, clicks on a website or even tweets, applications are bombarded with a never-ending stream of new events.
So, how can we architect our applications to be more reactive and resilient to these fluctuating loads and better manage our thirst for data? In this session explore how Kafka and Reactive application architecture can be combined in applications to better handle our modern data needs. We’ll take a look at the various frameworks and what they offer, and then delve into a live/interactive coding activity showcasing the ease of utilising the MicroProfile Reactive Messaging with Kafka to tackle these challenges.
We now live in a world with data at its heart. The amount of data being produced every day is growing exponentially and a large amount of this data is in the form of events. Whether it be updates from sensors, clicks on a website or even tweets, applications are bombarded with a never-ending stream of new events.
So, how can we architect our applications to be more reactive and resilient to these fluctuating loads and better manage our thirst for data? In this session explore how Kafka and Reactive application architecture can be combined in applications to better handle our modern data needs. We’ll take a look at the various frameworks and what they offer, and then delve into a live/interactive coding activity showcasing the ease of utilising the MicroProfile Reactive Messaging with Kafka to tackle these challenges.
Reacting to an event-driven world
We now live in a world with data at its heart. The amount of data being produced every day is growing exponentially and a large amount of this data is in the form of events. Whether it be updates from sensors, clicks on a website or even tweets, applications are bombarded with a never-ending stream of new events.
So, how can we architect our applications to be more reactive and resilient to these fluctuating loads and better manage our thirst for data? In this session explore how Kafka and Reactive application architecture can be combined in applications to better handle our modern data needs. We'll take a look at the various frameworks and what they offer, and then delve into a live/interactive coding activity showcasing the ease of utilising the MicroProfile Reactive Messaging with Kafka to tackle these challenges.
So, how can we architect our applications to be more reactive and resilient to these fluctuating loads and better manage our thirst for data? In this session explore how Kafka and Reactive application architecture can be combined in applications to better handle our modern data needs. We'll take a look at the various frameworks and what they offer, and then delve into a live/interactive coding activity showcasing the ease of utilising the MicroProfile Reactive Messaging with Kafka to tackle these challenges.
О докладчике
О докладчике
Grace is a Developer Advocate at IBM, working with Open Liberty and Reactive Technologies. She has been with IBM since graduating from Exeter University with a Degree in Biology. Grace enjoys bringing a varied perspective to her projects and using her knowledge of biological systems to simplify complex software patterns and architectures. As a developer advocate, Grace builds POC’s, demos and sample applications, and writes guides and tutorials. She is a regular presenter at international technology conferences and has recently authored a book on reactive systems. Grace also has a keen passion for encouraging more women into STEM and especially Technology careers.
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